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Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 31 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')



Text #0

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Max Act: 0.0159. Min Act: -0.0006

Data Index: 1409597 (Python Code)

Max Activating Token Index: 1023

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Text #1

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Max Act: 0.0158. Min Act: -0.0006

Data Index: 1533731 (Python Code)

Max Activating Token Index: 1023

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Max Act: 0.0158. Min Act: -0.0005

Data Index: 1544991 (Python Code)

Max Activating Token Index: 1023

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Text #3

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Data Index: 1533198 (Python Code)

Max Activating Token Index: 1023

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Text #4

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Data Index: 1360639 (Python Code)

Max Activating Token Index: 1023

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Data Index: 1539246 (Python Code)

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Data Index: 1537457 (Python Code)

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Text #7

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Data Index: 1416543 (Python Code)

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Text #8

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Data Index: 1494376 (Python Code)

Max Activating Token Index: 1023

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Text #9

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Data Index: 1490592 (Python Code)

Max Activating Token Index: 1023

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Text #10

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Data Index: 1623455 (Python Code)

Max Activating Token Index: 1023

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Text #11

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Data Index: 1428568 (Python Code)

Max Activating Token Index: 1023

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Text #12

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Data Index: 1544653 (Python Code)

Max Activating Token Index: 1023

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Text #13

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Data Index: 1514372 (Python Code)

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Data Index: 1529937 (Python Code)

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Data Index: 1404004 (Python Code)

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Text #16

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Data Index: 1505025 (Python Code)

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Text #17

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Data Index: 1461142 (Python Code)

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Text #18

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Data Index: 1239149 (C4 (Web Text))

Max Activating Token Index: 940

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Text #19

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Data Index: 1479227 (Python Code)

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